Instructions to use RohanHBTU/bart-large-finetuned-question-to-answer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RohanHBTU/bart-large-finetuned-question-to-answer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RohanHBTU/bart-large-finetuned-question-to-answer") model = AutoModelForSeq2SeqLM.from_pretrained("RohanHBTU/bart-large-finetuned-question-to-answer") - Notebooks
- Google Colab
- Kaggle
bart-large-finetuned-question-to-answer / runs /Jan23_20-40-36_19adce501553 /events.out.tfevents.1706042479.19adce501553.26.0
- Xet hash:
- 95f89836df042089944a916d8fd72c6b5ab59ede3b46e1c096bbeb55742f2085
- Size of remote file:
- 6.82 kB
- SHA256:
- 385cee0db989e8f519845e812ce17754b10a8b898765a285a2091dde4a094491
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.